Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/225950
Title: Application of graph theory to computer science in big networks for big data
Researcher: Rama Krishna
Guide(s): S Sreekanth
University: Noida International University
Completed Date: 
Abstract: This research Entitled Application of Graph Theory to Computer Science in Big newlineNetwork for Big Data , is a novel and innovative idea of inter-disciplinary, application newlineof Mathematical foundations of Computer Sciences, Graph Theoretic Mining newlineApproach to Computer Science Big Networks for Big Data for Network Analysis newlineregarding Security and Privacy concerns. Major contribution of thesis is formulation newlineof a mathematical graph model using Graph Mining and validated in on newlinevarious compute science case studies and considerable satisfactory empirical results newlinewere obtained for security and privacy metrics. The present research work attempts to newlineapplying Graph Mining Mathematical Model for Big Data Network Analysis for newlinetechnology transfer to extension of Big Data Social Media Analytics. The issues of newlineresearch work are uniformly accommodated in five chapters. In each chapter, the newlineneeds and techniques that are required to achieve objective of research work are well newlinediscussed. newline
Pagination: 
URI: http://hdl.handle.net/10603/225950
Appears in Departments:Department of Mathematics

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01_title.pdfAttached File66.29 kBAdobe PDFView/Open
02_certificate.pdf137.88 kBAdobe PDFView/Open
03_content.pdf354.15 kBAdobe PDFView/Open
04_list of tables.pdf49.08 kBAdobe PDFView/Open
05_list of figures.pdf153.19 kBAdobe PDFView/Open
06_acknowledgements.pdf127.87 kBAdobe PDFView/Open
07_chapter 1.pdf1.35 MBAdobe PDFView/Open
08_chapter 2.pdf778.83 kBAdobe PDFView/Open
09_chapter 3.pdf1.91 MBAdobe PDFView/Open
10_chapter 4.pdf1.63 MBAdobe PDFView/Open
11_chapter 5.pdf1.49 MBAdobe PDFView/Open
12_chapter 6.pdf167.41 kBAdobe PDFView/Open
13_chapter 7.pdf138.49 kBAdobe PDFView/Open
14_references.pdf388.2 kBAdobe PDFView/Open
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